I'm fascinated by this forum's take on AI regulations.
Whenever there is an adverse event, people say of course it should be regulated. The EU AI Act is a good start but we need more. These labs need to be held accountable just like all industries that can impact others. Regulate the chips, regulate the models, regulate the companies.
When these companies ask for regulations, people say they are trying to do regulatory capture. They are trying to ban opensource models, and cement their place as the AI arbiters and ban all others. We need competition and open weight models and China is leading the charge.
I understand that the 2 position aren't exactly opposed. We probably need regulations, and ideally ones that don't produce regulatory capture. That is extremely hard though. Almost all regulations end up creating a form of regulatory capture. Any regulation compliance has a cost. The more complex and wide reaching the regulations are, the more expensive it's to comply and the more they cement the existing players and make it harder for new ones to enter the market. FAA regulations makes it so we don't have dozens of passenger airplane startups that are trying crazy wacky things. Food services are regulated too, but the compliance is fairly doable by mom and pop stores, yet probably too high for your unlicensed pop-up taco stand.
I haven't really seen any meaningful discussion about what AI regulation should be. Only extremes of "No regulations, all is fair" or "no one should have access to running or developing models but OpenAI and Anthropic".
Whenever there is an adverse event, people say of course it should be regulated. The EU AI Act is a good start but we need more. These labs need to be held accountable just like all industries that can impact others. Regulate the chips, regulate the models, regulate the companies.
When these companies ask for regulations, people say they are trying to do regulatory capture. They are trying to ban opensource models, and cement their place as the AI arbiters and ban all others. We need competition and open weight models and China is leading the charge.
I understand that the 2 position aren't exactly opposed. We probably need regulations, and ideally ones that don't produce regulatory capture. That is extremely hard though. Almost all regulations end up creating a form of regulatory capture. Any regulation compliance has a cost. The more complex and wide reaching the regulations are, the more expensive it's to comply and the more they cement the existing players and make it harder for new ones to enter the market. FAA regulations makes it so we don't have dozens of passenger airplane startups that are trying crazy wacky things. Food services are regulated too, but the compliance is fairly doable by mom and pop stores, yet probably too high for your unlicensed pop-up taco stand.
I haven't really seen any meaningful discussion about what AI regulation should be. Only extremes of "No regulations, all is fair" or "no one should have access to running or developing models but OpenAI and Anthropic".